Xindong Wu's Publications in Data Mining and Machine Learning

[All Topics]
  1. Faliang Huang, Shichao Zhang, Minghua He, Xindong Wu, Clustering Web Documents Using Hierarchical Representation with Multi-Granularity, World Wide Web, accepted, to appear.
  2. Kui Yu, Wei Ding, Hao Wang, Xindong Wu, Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data, IEEE Transactions on Knowledge and Data Engineering, accepted, to appear.
  3. Xindong Wu, Xingquan Zhu, Yu He, Abdullah Arslan, PMBC: Pattern Mining from Biological Sequences with Wildcard Constraints, Computers in Biology and Medicine, 43(2013), 5: 481-492.
  4. Xindong Wu, Kui Yu, Wei Ding, Hao Wang, and Xingquan Zhu, Online Feature Selection with Streaming Features, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(2013), 5: 1178-1192.
  5. Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua, MAIL: Mining Sequential Patterns with Wildcards, International Journal of Data Mining and Bioinformatics, accepted, to appear.
  6. Huawen Liu, Xindong Wu, Shichao Zhang, A New Supervised Feature Selection Method for Pattern Classification, Computational Intelligence, accepted, to appear.
  7. Haiguang Li, Xindong Wu, Zhao Li, Gongqing Wu, A Relation Extraction Method of Chinese Named Entities Based on Location and Semantic Features, Applied Intelligence, 38(2013), 1: 1-15.
  8. He Jiang, Zhilei Ren, Jifeng Xuan, Xindong Wu: Extracting elite pairwise constraints for clustering. Neurocomputing, 99(2013), 1: 124-133.
  9. Xiaofeng Zhu, Xindong Wu, Wei Ding and Shichao Zhang, Feature Selection by Joint Graph Sparse Coding, Proceedings of SDM'13: the Twelfth SIAM International Conference on Data Mining, Austin, Texas, USA, May 2-4, 2013.
  10. Xiaofeng Zhu, Zi Huang, and Xindong Wu, Multi-View Visual Classification via a Mixed-Norm Regularizer, Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Gold Coast, Australia, April 14 - 17, 2013.
  11. Xin Chen, TingTing He, Xiaohua Hu, Yanhong Zhou, Yuan An, Xindong Wu, Estimating Functional Groups in Human Gut Microbiome with Probabilistic Topic Models, IEEE Transactions on NanoBiosceince, 11(2012), 3: 203-215.
  12. Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Exploring Causal Relationships with Streaming Features, The Computer Journal, 55(2012), 9: 1103-1117.
  13. Guojun Mao, Xindong Wu and Xuxian Jiang, Intrusion Detection Models Based on Data Mining, International Journal of Computational Intelligence Systems, 5(2012), 1: 30-38.
  14. Zhong-Qiu Zhao, Herve Glotin, Zhao Xie, Jun Gao, Xindong Wu, Cooperative Sparse Representation in Two Opposite Directions for Semi-supervised Image Annotation, IEEE Transactions on Image Processing, 21(2012), 9: 4218-4231.
  15. Meng Wang, Hao Li, Dacheng Tao, Ke Lu, and Xindong Wu, Multimodel Graph-Based Reranking for Web Image Search, IEEE Transactions on Image Processing, 21(2012), 11: 4649-4661.
  16. Xindong Wu, Peipei Li, Xuegang Hu, Learning from Concept Drifting Data Streams with Unlabeled Data, Neurocomputing, 92(2012), 145-155.
  17. Peipei Li, Xindong Wu and Xuegang Hu, Mining Recurring Concept Drifts with Limited Labeled Streaming Data, ACM Transactions on Intelligent Systems and Technology, 3(2012), Issue 2.
  18. Tianyi Zhou, Dacheng Tao, Xindong Wu, Compressed Labeling on Distilled Labelsets for Multi-label Learning, Machine Learning, 88(2012), 1: 69-126.
  19. Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoff J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaiane, Top-10 Data Mining Case Studies, International Journal of Information Technology and Decision Making, 11(2012), 2: 389-400.
  20. Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, and Xindong Wu, Self-Taught Active Learning from Crowds, Proceedings of the 12th IEEE International Conference on Data Mining (ICDM '12), December 10-13, 2012, Brussels, Belgium.
  21. Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu, Mining Emerging Patterns by Streaming Feature Selection, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012), August 12 - 16, 2012, Beijing, China, 60-68.
  22. Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding, Coupled Behavior Analysis for Capturing Coupling Relationships in Group-based Market Manipulations, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012), August 12 - 16, 2012, Beijing, China, 976-984.
  23. Gongqing Wu and Xindong Wu, Extracting Web News Using Tag Path Patterns, Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2012), December 4-7, 2012, Macau, China.
  24. Yongguo Liu, Xindong Wu and Yidong Shen, Automatic Clustering Using Genetic Algorithms, Applied Mathematics and Computation, 218(2011), 4: 1267-1279.
  25. Tianyu Cao, Xindong Wu, Song Wang, and Xiaohua Hu, Maximizing Influence Spread in Modular Social Networks by Optimal Resource Allocation, Expert Systems with Applications, 38(2011), 10: 13128-13135.
  26. Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenco Bandeira, Ricardo Ricardo, Youxi Wu, Zhenyu Lu, Tianyu Cao, and Xindong Wu, Sub-Kilometer Crater Discovery with Boosting and Transfer Learning, ACM Transactions on Intelligent Systems and Technology, Volume 2, Issue 4, 2011.
  27. Yan Zhang, Xingquan Zhu, Xindong Wu, and Jeffrey P. Bond, Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling. Information Systems, 36(2011), 8: 1135-1157.
  28. Tianyi Zhou, Dacheng Tao, and Xindong Wu, Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction, Data Mining and Knowledge Discovery, 22(2011), 3: 340-371.
  29. Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, Xindong Wu, Robust Ensemble Learning for Mining Noisy Data Streams, Decision Support Systems, 50(2011), 2: 469-479.
  30. Xingquan Zhu, Bin Li, Xindong Wu, Dan He, and Chengqi Zhang, CLAP: Collaborative Pattern Mining for Distributed Information Systems, Decision Support Systems, 52(2011), 1: 40-51.
  31. Dan He, Xingquan Zhu, and Xindong Wu, Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints, Computational Intelligence, 27(2011), 3: 336-362.
  32. Bo Yang, Songcan Chen, Xindong Wu, A Structurally Motivated Framework for Discriminant Analysis, Pattern Analysis and Applications, 14(2011), 4: 349-367.
  33. Dan Guo, Xiao-Li Hong, Xue-Gang Hu, Jun Gao, Ying-Ling Liu, Gong-Qing Wu, Xindong Wu, A Bit-Parallel Algorithm for Sequential Pattern Matching with Wildcards, Cybernetics and Systems, 42(2011), 6: 382-401.
  34. Kui Yu, Xindong Wu, Wei Ding, and Hao Wang, Causal Associative Classification, Proceedings of the 11th IEEE International Conference on Data Mining (ICDM '11), December 11-14, 2011, Vancouver, Canada, 914-923.
  35. Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu, Cross-Domain Collaborative Filtering over Time, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, July 19-22, 2011, 2293-2298.
  36. Huawen Liu, Xindong Wu, Shichao Zhang, Feature Selection using Hierarchical Feature Clustering, Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, Scotland, UK, 24th-28th October 2011, 979-984.
  37. Saeed Abdullah and Xindong Wu, An Epidemic Model for News Spreading on Twitter, Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), Nov. 7-9, 2011, Boca Raton, Florida, USA, 163-169.
  38. Xindong Wu, Fei Xie, Gongqing Wu and Wei Ding, Personalized News Filtering and Summarization on the Web, Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), Nov. 7-9, 2011, Boca Raton, Florida, USA, 414-421.
  39. Zhao Li and Xindong Wu, Weighted Nonnegative Matrix Tri-Factorization for Co-Clustering, Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), Nov. 7-9, 2011, Boca Raton, Florida, USA, 811-816.
  40. Xin Chen, TingTing He, Xiaohua Hu, Yuan An, Xindong Wu, Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models, Proceedings of the 2011 IEEE International Conference on Bioinformaticsand Biomedicine (BIBM11), Atlanta, Georgia, USA, Nov. 12-15, 2011, 3-9.
  41. Tianyu Cao, Xindong Wu, Xiaohua Hu, Song Wang, Active Learning of Model Parameters for Influence Maximization, Proceedings of the 2011 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), Athens, Greece, September 5th-9th, 2011, 280-295.
  42. Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang: Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams, Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), May 24-27, 2011, Shenzhen, China, 313-325.
  43. Hai-Guang Li, Gong-Qing Wu, Xue-Gang Hu, Jing Zhang, Lian Li, Xindong Wu, K-Means Clustering with Bagging and MapReduce, Proceedings of the 2011 Hawaii International Conference on Systems Sciences (HICSS-44), January 4-7, 2011, Kauai, Hawaii, USA.
  44. Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu, Keyword Extraction based on Sequential Pattern Mining, Proceedings of the Third International Conference on Internet Multimedia Computing and Service (ICIMCS '11), Chengdu, China, August 5-7, 2011, 34-38.
  45. Pei-Pei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao: A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Applied Artificial Intelligence, 24(2010), 7: 680-710.
  46. Xindong Wu, Gong-Qing Wu, Fei Xie, Zhu Zhu, Xue-Gang Hu, Hao Lu, Huiqian Li, News Filtering and Summarization on the Web, IEEE Intelligent Systems, 25(2010), 5: 68-76.
  47. Zhao Li, Xindong Wu, and Hong Peng, Non-negative Matrix Factorization on Orthogonal Subspace, Pattern Recognition Letters, 31(2010), 9: 905-911.
  48. Yan Zhang and Xindong Wu, Integrating Induction and Deduction for Noisy Data Mining, Information Sciences, 180(2010), 2663-2673.
  49. Zhong-Qiu Zhao, Jun Gao, Herve Glotin, and Xindong Wu, A Matrix Modular Neural Network Based on Task Decomposition with Subspace Division by Adaptive Affinity Propagation Clustering, Applied Mathematical Modelling, 34(2010), 3884-3895.
  50. Xindong Wu, Kui Yu, Hao Wang, and Wei Ding, Online Streaming Feature Selection, Proceedings of the 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel, June 21-24, 2010, 1159-1166.
  51. Zhenyu Lu, Xindong Wu, Xingquan Zhu, and Josh Bongard, Ensemble Pruning via Individual Contribution Ordering, Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2010), July 25-28, 2010, Washington, DC, USA, 871-880.
  52. Tianyi Zhou, Dacheng Tao, and Xindong Wu, NESVM: a Fast Gradient Method for Support Vector Machines, Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney Australia, December 14-17, 2010, 679-688.
  53. Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, and Xindong Wu, SMILE: A Similarity-Based Approach for Multiple Instance Learning, Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney Australia, December 14-17, 2010, 589-598.
  54. Kui Yu, Xindong Wu, Hao Wang, and Wei Ding, Causal Discovery from Streaming Features, Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney Australia, December 14-17, 2010, 1163-1168.
  55. Zhenyu Lu, Xindong Wu, and Josh Bongard, Adaptive Informative Sampling for Active Learning, Proceedings of the 10th SIAM International Conference on Data Mining (SDM 2010), April 29th - May 1st, 2010, Columbus, Ohio, USA, 894-905.
  56. Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, and Kotagiri Ramamohanarao, Mining Distribution Change in Stock Order Streams, Proceedings of the 26th IEEE International Conference on Data Engineering (ICDE 2010), Long Beach, California, USA, March 1-6, 2010, 105-108.
  57. Tianyu Cao, Xindong Wu, Song Wang, and Xiaohua Hu, OASNET: An Optimal Allocation Approach to Influence Maximization on Modular Social Networks, Proceedings of the 25th ACM Symposium on Applied Computing (SAC 2010), Sierre, Switzerland, March 22-26, 2010, 1088-1094.
  58. Herve Glotin, Zhong-Qiu Zhao, Jun Gao, Xindong Wu, A Matrix Modular SVM Robust to Imbalanced Data for Efficient Visual Concept Detection, Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval (MIR 2010), March 29-31, 2010, National Constitution Center, Philadelphia, Pennsylvania, USA, 333-338.
  59. Dan He, Xindong Wu and Xingquan Zhu, Rule Synthesizing from Multiple Related Databases, Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010) (acceptance rate: 10.2% for full papers), 21-24 June, 2010, Hyderabad, India, Part 2: 201-213.
  60. Zhao Li, Xindong Wu and Zhenyu Lu, Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering, Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010) (acceptance rate: 23.3%), 21-24 June, 2010, Hyderabad, India, Part 2: 214-221.
  61. Shichao Zhang, Xindong Wu, and Manlong Zhu, Efficient Missing Data Imputation for Supervised Learning, Proceedings of the 9th IEEE International Conference on Cognitive Informatics (ICCI 2010), July 7-9, 2010, Tsinghua University, Beijing, China, 672-679.
  62. Qun Zhu, Xuegang Hu, Yuhong Zhang, Peipei Li, Xindong Wu, A Double-Window-based Classification Algorithm for Concept Drifting Data Streams, Proceedings of the 2010 IEEE International Conference on Granular Computing (GrC 2010), Silicon Valley, USA, 14-16 August, 2010.
  63. Jiaying He, Peipei Li, Xuegang Hu, Xindong Wu, A New Automatic Categorization Algorithm for Web Services, Proceedings of the 2010 IEEE International Conference on Granular Computing (GrC 2010), Silicon Valley, USA, 14-16 August, 2010.
  64. Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, and Ertian Hua, Sequential Pattern Mining with Wildcards, Proceedings of the 22th International Conference on Tools with Artificial Intelligence (ICTAI 2010), October 27-29, 2010, Arras, France.
  65. Xindong Wu and Vipin Kumar (Eds), The Top Ten Algorithms in Data Mining, Chapman & Hall/CRC, 2009, ISBN 978-1-4200-8964-6.
  66. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Geometric Mean for Subspace Selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2009), 2: 260-274.
  67. Zili Zhang, Pengyi Yang, Xindong Wu, and Chengqi Zhang, An Agent-Based Hybrid System for Microarray Data Analysis, IEEE Intelligent Systems, 24(2009), 5: 53-63.
  68. Shichao Zhang, Xiaofang You, Zhi Jin, and Xindong Wu, Mining Globally Interesting Patterns from Multiple Databases Using Kernel Estimation, Expert Systems with Applications, 36(2009), 8: 10863-10869.
  69. Zhao Xie, Jun Gao, and Xindong Wu, Regional Category Parsing in Undirected Graphical Models, Pattern Recognition Letters, 30(2009), 14: 1264-1272.
  70. Zhenyu Lu, Xindong Wu, and Josh Bongard, Active Learning with Adaptive Heterogeneous Ensembles, Proceedings of the 9th IEEE International Conference on Data Mining (ICDM 2009) (acceptance rate for regular papers: 70/786), Miami, FL, USA, December 6-9, 2009, 327-336.
  71. Xingquan Zhu, Xindong Wu, Chengqi Zhang, Vague One-Class Learning for Data Streams, Proceedings of the 9th IEEE International Conference on Data Mining (ICDM 2009) (acceptance rate for regular papers: 70/786), Miami, FL, USA, December 6-9, 2009, 657-666.
  72. Dan He, Xingquan Zhu and Xindong Wu, Approximate Repeating Pattern Mining with Gap Requirements, Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2009), November 2-4, 2009, Newark Liberty International Airport Marriott Newark, New Jersey, USA, 17-24.
  73. Dan He, Xingquan Zhu and Xindong Wu, Error Detection and Uncertainty Modeling for Imprecise Data, Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2009), November 2-4, 2009, Newark Liberty International Airport Marriott Newark, New Jersey, USA, 792-795.
  74. Yong-Ming Huang, Xindong Wu, Xue-Gang Hu, Fei Xie, Jun Gao, and Gong-Qing Wu, Mining Frequent Patterns with Gaps and One-off Condition, Proceedings of the 12th IEEE International Conferences on Computational Science and Engineering (CSE 2009) (acceptance rate: 40 out of 183 submissions), August 29-31, Vancouver, Canada, 180-186.
  75. Peipei Li, Qianhui Liang, Xindong Wu, and Xuegang Hu, Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data, Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Bangkok, Thailand, April 27-30, 2009, 376-388.
  76. Peng Zhang, Xingquan Zhu, Yong Shi, and Xindong Wu, An Aggregate Ensemble for Mining Data Streams with both Concept Drifting and Noise, Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Bangkok, Thailand, April 27-30, 2009, 1021-1029.
  77. Gong-Qing Wu, Xindong Wu, Xue-Gang Hu, Hai-Guang Li, Ying Liu, and Ren-Gan Xu, Web News Extraction Based on Path Pattern Mining, Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'09), Tianjin, China, 14-16 August 2009.
  78. Qianhui Liang, Peipei Li, Patrick C. K. Hung, and Xindong Wu, Clustering Web Services for Automatic Categorization, Proceedings of the 2009 IEEE International Conference on Services Computing (IEEE SCC 2009), September 21-25, 2009, Bangalore, India, 380-387.
  79. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand and Dan Steinberg, Top 10 Algorithms in Data Mining, Knowledge and Information Systems, 14(2008), 1: 1-37.
  80. Shichao Zhang, Xindong Wu, Chengqi Zhang, and Jingli Lu, Computing the Minimum-Support for Mining Frequent Patterns, Knowledge and Information Systems, 15(2008), 2: 233-257.
  81. Xindong Wu and Xingquan Zhu, Mining with Noise Knowledge: Error-Aware Data Mining, IEEE Transactions on Systems, Man and Cybernetics, Part A, 38(2008), 4: 917-932.
  82. Ying Yang, Xindong Wu, and Xingquan Zhu, Conceptual Equivalence for Contrast Mining in Classification Learning, Data and Knowledge Engineering, 67(2008), 3: 413-429.
  83. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Tensor Rank One Discriminant Analysis - A Convergent Method for Discriminative Multilinear Subspace Selection, Neurocomputing, 71(2008), 10: 1866-1882.
  84. Gong Chen, Xindong Wu, and Xingquan Zhu, Mining Sequential Patterns across Time Sequences, New Generation Computing, 26(2008), 1: 75-96.
  85. Dingjun Chen, Keith C. C. Chan and Xindong Wu, Gene Expression Analyses Using Genetic Algorithm based Hybrid Approaches, Proceedings of the 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), Hong Kong Convention and Exhibition Centre, Hong Kong, June 1-6, 2008, 963-969.
  86. Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, and Christos Faloutsos, Bayesian Tensor Analysis, Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN), Hong Kong Convention and Exhibition Centre, Hong Kong, June 1-6, 2008, 1402-1409.
  87. Zhao Li, Hong Peng, and Xindong Wu, A New Descriptive Clustering Algorithm Based on Nonnegative Matrix Factorization, Proceedings of the 2008 IEEE International Conference on Granular Computing (IEEE GrC 2008), Hangzhou, China, August 26-28, 2008, 407-412.
  88. Guojun Mao, Jing Zhang, and Xindong Wu, Intrusion Detection Based on the Short Sequence Model, Proceedings of the 7th World Congress on Intelligent Control and Automation, International Convention Center, Chongqing, China, June 25-27, 2008, 1449-1454.
  89. Guojun Mao, Xialing Yang, and Xindong Wu, A New Algorithm for Mining Frequent Closed Itemsets from Data Streams, Proceedings of the 7th World Congress on Intelligent Control and Automation, International Convention Center, Chongqing, China, June 25-27, 2008, 154-159.
  90. Peipei Li, Xuegang Hu, and Xindong Wu, Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees, Proceedings of the Fourth International Conference on Advanced Data Mining and Applications, Chengdu, China, 8-10 October 2008, 733-740.
  91. Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, and Yong Shi, Cleansing Noisy Data Streams, Proceedings of the 8th IEEE International Conference on Data Mining, December 15-19, 2008, Pisa, Italy, 1139-1144.
  92. Xiaoyan Liu, Xindong Wu, Huaiqing Wang, and Yingfeng Wang, Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation, Proceedings of ICDM Workshops 2008, December 15-19, 2008, Pisa, Italy, 635-642.
  93. Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, and Zhaozhong Jiang, Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages, Proceedings of ICDM Workshops 2008, December 15-19, 2008, Pisa, Italy, 744-751.
  94. Pavel Berkhin, Rich Caruana, Xindong Wu, and Scott Gaffney (Eds), Proceedings of KDD-07: the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, CA, USA, August 12-15, 2007. ISBN 978-1-59593-609-7.
  95. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, General Tensor Discriminant Analysis and Gabor Features for Gait Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2007), 10: 1700-1715.
  96. Dacheng Tao, Xuelong Li, Xindong Wu, Weiming Hu, and Steve Maybank, Supervised Tensor Learning, Knowledge and Information Systems, 13(2007), 1: 1-42.
  97. Jun Gao, Zhao Xie, Xindong Wu, Generic Object Recognition with Regional Statistical Models and Layer Joint Boosting, Pattern Recognition Letters, 28(2007), 16: 2227-2237
  98. Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, and Chunnian Liu, Mining Maximal Frequent Itemsets from Data Streams, Journal of Information Science, 33(2007), 3: 251-262.
  99. Xuegang Hu, Peipei Li, Xindong Wu, and Gongqing Wu, A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams, Journal of Computer Science and Technology, 22(2007), 5: 711-724.
  100. Dacheng Tao, Xuelong Li, Xindong Wu, and Stephen Maybank, General Averaged Divergence Analysis (this paper won the Best Theory/Algorithms Paper Runner Up Award of the conference), Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM '07) (acceptance rate for regular papers: 40/530), Omaha, Nebraska, USA, October 28-31, 2007, 302-311.
  101. Yan Zhang and Xindong Wu, Noise Modeling with Associative Corruption Rules, Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM '07) (acceptance rate: 101/530), Omaha, Nebraska, USA, October 28-31, 2007, 733-738.
  102. Xingquan Zhu and Xindong Wu, Mining Complex Patterns across Sequences with Gap Requirements, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) (acceptance rate: 212/1353 for regular, oral presentations), Hyderabad, India, January 6-12, 2007, 2934-2940.
  103. Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, and Yong Shi, An Empirical Study of the Noise Impact on Cost-Sensitive Learning, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) (acceptance rate: 212 regular papers + 258 poster papers, out of 1353 submissions), Hyderabad, India, January 6-12, 2007, 1168-1173.
  104. Xingquan Zhu and Xindong Wu, Discovering Relational Patterns across Multiple Databases, Proceedings of the 23rd IEEE International Conference on Data Engineering (ICDE 2007) (acceptance rate: 122/659 for full papers), April 16-20, 2007, The Marmara Hotel, Istanbul, Turkey, 726-735.
  105. Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, and Chengqi Zhang, Measuring the Uncertainty of Differences for Contrasting Groups, Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07), Vancouver, British Columbia, Canada, July 22-26, 2007, 1920-1921.
  106. Xuegang Hu, Dongbo Wang, Xindong Wu, Varying Density Spatial Clustering Based On a Hierarchical Tree, Proceedings of the Fifth International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM'2007), July 18-20, 2007, Leipzig, Germany, 188-202.
  107. Kui Yu, Hao Wang, and Xindong Wu, A Parallel Algorithm for Learning Bayesian Networks, Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007) (acceptance rate: 17.67%), Nanjing, China, 22-25 May 2007, 1055-1063.
  108. Xuegang Hu, Wei Liu, Dexing Wang, and Xindong Wu, Mining Frequent Itemsets Using A Pruned Concept Lattice, Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 24-27 August 2007, Haikou, China, Volume 3, 606-610.
  109. Yu He, Xindong Wu, Xingquan Zhu and Abdullah N Arslan, Mining Frequent Patterns with Wildcards from Biological Sequences, Proceedings of the 2007 IEEE International Conference on Information Reuse and Integration (IRI-07), August 13 - 15, 2007, Hilton Hotel, Las Vegas, USA, 329-334.
  110. Dacheng Tao, Xiaoou Tang, Xuelong Li, and Xindong Wu, Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(2006), 7: 1088-1099.
  111. Xingquan Zhu and Xindong Wu, Class Noise Handling for Effective Cost-Sensitive Classification by Cost-Guided Iterative Classification Filtering, IEEE Transactions on Knowledge and Data Engineering, 18(2006), 10: 1435-1440.
  112. Xingquan Zhu, Xindong Wu, and Qijun Chen, Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Datasets, Data Mining and Knowledge Discovery, 12(2006), 2: 275-308.
  113. Ying Yang, Xindong Wu, and Xingquan Zhu, Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams, Data Mining and Knowledge Discovery, 13(2006), 3: 261-289.
  114. Xingquan Zhu, Xindong Wu, and Ying Yang, Effective Classification of Noisy Data Streams with Attribute-Oriented Dynamic Classifier Selection, Knowledge and Information Systems, 9(2006), 3: 339-363.
  115. Kaile Su, Huijing Huang, Xindong Wu, and Shichao Zhang, A Logical Framework for Identifying Quality Knowledge from Different Data Sources, Decision Support Systems, 42(2006), 3: 1673-1683.
  116. Qiang Yang and Xindong Wu (Contributors: Pedro Domingos, Charles Elkan, Johannes Gehrke, Jiawei Han, David Heckerman, Daniel Keim, Jiming Liu, David Madigan, Gregory Piatetsky-Shapiro, Vijay V. Raghavan, Rajeev Rastogi, Salvatore J. Stolfo, Alexander Tuzhilin, and Benjamin W. Wah), 10 Challenging Problems in Data Mining Research, International Journal of Information Technology & Decision Making, 5(2006),4: 597-604.
  117. Shichao Zhang, Feng Chen, Xindong Wu, and Chengqi Zhang, Identifying Bridging Rules between Conceptual Clusters, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006) (acceptance rate: 23%), August 20 - 23, 2006, Philadelphia, USA, 815-820.
  118. Yan Zhang, Xingquan Zhu, and Xindong Wu, Corrective Classification: A Classifier Ensemble with Corrective and Diverse Base Learners, Proceedings of the 6th IEEE International Conference on Data Mining (ICDM '06) (acceptance rate: 73 regular papers + 79 short papers out of 776 submissions), Hong Kong Convention and Exhibition Centre, Hong Kong, China, 18-22 December 2006, 1199-1204.
  119. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Elapsed Time in Human Gait Recognition: A New Approach, Proceedings of the 31st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006) (acceptance rate: 1465/3045), Toulouse, France, May 14-19, 2006, Volume 2, 177-180.
  120. Divya Singh, Abdullah Arslan, and Xindong Wu, Using an Extended Suffix Tree to Speed-Up Sequence Alignment, Proceedings of the IADIS International Conference on Applied Computing 2006, San Sebastian, Spain, 25-28 February 2006, 655-660.
  121. Xingquan Zhu and Xindong Wu, Error Awareness Data Mining, Proceedings of 2006 IEEE International Conference on Granular Computing (GrC 2006) (acceptance rate 49/321 for 6-page papers), Atlanta, USA, May 10-12, 2006, 269-274.
  122. Xingquan Zhu and Xindong Wu, Scalable Representative Instance Selection and Ranking, Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, Volume 3, 352-355.
  123. Dan He and Xindong Wu, Ontology-Based Feature Weighting for Biomedical Literature Classification, Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration (IRI-2006) (acceptance rate: 97/185 for regular papers), September 16-18, 2006, Waikoloa, Hawaii, USA, 280-285.
  124. Xindong Wu, Chengqi Zhang, and Shichao Zhang, Database Classification for Multi-Database Mining, Information Systems, 30(2005), 1: 71-88.
  125. Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, and Lide Wu, Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective, IEEE Transactions on Knowledge and Data Engineering, 17(2005), 5: 665-677.
  126. Xingquan Zhu and Xindong Wu, Cost-Constrained Data Acquisition for Intelligent Data Preparation, IEEE Transactions on Knowledge and Data Engineering, 17(2005), 11: 1542-1556.
  127. Jiaqi Wang, Xindong Wu, and Chengqi Zhang, Support Vector Machines based on K-Means Clustering for Real-Time Business Intelligence Systems, International Journal of Business Intelligence and Data Mining, 1(2005), 1: 54-64.
  128. Hao Huang, Xindong Wu, and Richard Relue, Mining Frequent Patterns with the Pattern Tree, New Generation Computing, 23(2005), 4: 315-337.
  129. Ying Yang, Xindong Wu, and Xingquan Zhu, Combining Proactive and Reactive Predictions for Data Streams, Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005) (acceptance rate: 40 full papers + 36 short papers, out of 358 research-track submissions), Chicago, IL, USA, August 21-24, 2005, 710-715.
  130. Dacheng Tao, Xuelong Li, Weiming Hu, Stephen Maybank, and Xindong Wu, Supervised Tensor Learning, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05) (acceptance rate: 69/630 for regular papers), Houston, TX, USA, 27 - 30 November 2005, 450-457.
  131. Gong Chen, Xindong Wu, and Xingquan Zhu, Sequential Pattern Mining in Multiple Data Streams, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05) (acceptance rate: 69 regular papers + 72 short papers, out of 630 submissions), Houston, TX, USA, 27 - 30 November 2005, 585-588.
  132. Shichao Zhang, Xindong Wu, Jilian Zhang, and Chengqi Zhang, A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases, Proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2005) (acceptance rate: 52/162), 22 - 26 August 2005, Copenhagen, Denmark, 305-314.
  133. Gyesung Lee, Xindong Wu, and Jinho Chon, Rearranging Data Objects for Efficient and Stable Clustering, Proceedings of the 20th Annual ACM Symposium on Applied Computing (SAC 2005) (acceptance rate: 12/35 for full papers at the Special Track on Data Mining), Santa Fe, New Mexico, March 13 - 17, 2005, 519-524.
  134. Qijun Chen, Xindong Wu, and Xingquan Zhu, Scalable Inductive Learning on Partitioned Data, Proceedings of the 15th International Symposium on Methodologies for Intelligent Systems (ISMIS 2005) (acceptance rate: 69 out of ``almost 200'' submissions), May 26-28, 2005, Saratoga Springs, New York, 391-403.
  135. Yan Zhang, Xingquan Zhu, Xindong Wu, and Jeffrey P. Bond, ACE: An Aggressive Classifier Ensemble with Error Detection, Correction and Cleansing (this paper won the Best Paper Award of the conference), Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005) (acceptance rate: 36/297 for regular papers), Hong Kong, November 14-16, 2005, 310-317.
  136. Guojun Mao, Xindong Wu, Chunnian Liu, Yue Sun, and Xu Liu, An Association Matrix Structure for Mining Key Event Sequences Over Sliding Windows, Proceedings of the 3rd International Conference on Computer Science and its Applications (ICCSA-2005), June 28-30, 2005, San Diego, California, 59-63.
  137. Shichao Zhang, Chengqi Zhang, and Xindong Wu, Knowledge Discovery in Multiple Databases, Springer, 2004. ISBN 1-85233-703-6.
  138. Xindong Wu, Chengqi Zhang, and Shichao Zhang, Efficient Mining of Both Positive and Negative Association Rules, ACM Transactions on Information Systems, 22(2004), 3: 381-405.
  139. Xindong Wu, Data Mining: An AI Perspective, The IEEE Intelligent Informatics Bulletin, 4(2004), 2: 23-26.
  140. Ying Yang and Xindong Wu, Parameter Tuning for Induction Algorithm Oriented Feature Elimination, IEEE Intelligent Systems, 19(2004), 2: 40-49.
  141. Xingquan Zhu and Xindong Wu, Class Noise vs Attribute Noise: A Quantitative Study of Their Impacts, Artificial Intelligence Review, 22(2004), 3-4: 177-210.
  142. Xingquan Zhu, Xindong Wu, and Ying Yang, Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets, Proceedings of the 19th National Conference on Artificial Intelligence (AAAI-04) (acceptance rate: 121/453), July 25-29, 2004, San Jose, California, 378-383.
  143. Ying Yang, Xindong Wu, and Xingquan Zhu, Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources, Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (acceptance rate: 39/301 for regular papers), Pisa, Italy, September 20-24, 2004, 471-483.
  144. Jeffrey Stone, Xindong Wu, and Mark Greenblatt, An Intelligent Digital Library System for Computational Biologists (a poster paper; abstract refereed), Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference (CSB2004), Stanford, CA, August 16-19, 2004, 491-492.
  145. Xingquan Zhu and Xindong Wu, Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning , Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM '04) (acceptance rate: 39/451 for regular papers), Brighton, UK, November 1 - 4, 2004, 297-304.
  146. Xingquan Zhu, Xindong Wu, and Ying Yang, Dynamic Classifier Selection for Effective Mining from Noisy Data Streams, Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM '04) (acceptance rate: 39/451 for regular papers), Brighton, UK, November 1 - 4, 2004, 305-312.
  147. Xingquan Zhu and Xindong Wu, Data Acquisition with Active and Impact-Sensitive Instance Selection, Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004) (acceptance rate: 54 regular papers + 47 short papers, out of 205 submissions), November 15-17, 2004, Boca Raton, Florida, 721-726.
  148. Xindong Wu, Alex Tuzhilin, and Jude Shavlik (Eds), Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM '03), Melbourne, Florida, USA, November 19 - 22, 2003. IEEE Computer Society Press, California, USA. ISBN 0-7695-1978-4. [Welcome to ICDM 2003]
  149. Xindong Wu and Shichao Zhang, Synthesizing High-Frequency Rules from Different Data Sources, IEEE Transactions on Knowledge and Data Engineering, 15(2003), 2: 353-367.
  150. Xindong Wu, Philip S. Yu, Gregory Piatetsky-Shapiro, Nick Cercone, T.Y. Lin, Ramamohanarao Kotagiri, and Benjamin W. Wah, Data Mining: How Research Meets Practical Development?, Knowledge and Information Systems, 5(2003), 2: 248-261.
  151. Shichao Zhang, Xindong Wu, and Chengqu Zhang, Multi-Database Mining, The IEEE Computational Intelligence Bulletin, 2(2003), 1: 5-13.
  152. Xingquan Zhu and Xindong Wu, Mining Video Associations for Efficient Database Management, Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) (acceptance rate: 189 regular papers + 63 poster papers, out of 913 full-paper submissions), Acapulco, Mexico, August 12-15, 2003, 1422-1424.
  153. Xingquan Zhu, Xindong Wu, and Qijun Chen, Eliminating Class Noise in Large Datasets, Proceedings of the 20th International Conference on Machine Learning (ICML-2003) (acceptance rate: 119/371), Washington D.C., USA, August 21-24, 2003, 920-927.
  154. Xingquan Zhu and Xindong Wu, Sequential Association Mining for Video Summarization, Proceedings of the 2003 IEEE International Conference on Multimedia & Expo (ICME 2003) (acceptance rate: 440/760), Baltimore, MD, July 6-9, 2003, Volume 3, 333-336.
  155. Jiaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi, and Jue Wang, SVM-OD: A New SVM Algorithm for Outlier Detection, Proceedings of ICDM '03 Workshop on Foundations and New Directions of Data Mining (acceptance rate: 33/62), Melbourne, Florida, USA, November 19, 2003, 203-209.
  156. Shichao Zhang, Xindong Wu, Chengqi Zhang, and Kaile Su, Identifying Quality Knowledge from Different Data Sources, Proceedings of ICDM '03 Workshop on Foundations and New Directions of Data Mining (acceptance rate: 33/62), Melbourne, Florida, USA, November 19, 2003, 234-242.
  157. Xindong Wu, Chengqi Zhang, and Shichao Zhang, Mining Both Positive and Negative Association Rules, Proceedings of the 19th International Conference on Machine Learning (ICML-2002) (acceptance rate: 86/261), The University of New South Wales, Sydney, Australia, 8-12 July 2002, 658-665.
  158. Hao Huang, Xindong Wu, and Richard Relue, Association Analysis with One Scan of Databases, Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02) (acceptance rate: 72 regular papers + 49 short papers & industry-track papers, out of 369 submissions), Maebashi TERRSA, Maebashi City, Japan, December 9 - 12, 2002, 629-632.
  159. Kalyani K. Manchi and Xindong Wu, Dynamic Refinement of Classification Rules, Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002) (acceptance rate: 27 regular papers + 24 short papers, out of 84 submissions), Washington D.C., November 4-6, 2002, 189-196.
  160. Richard Relue and Xindong Wu, Rule Generation with the Pattern Repository (Plenary Talk), Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (IEEE AIS-02), Gelendzhik, Black Sea Cost, Russia, September 5-10, 2002, 186-191.
  161. Nick Cercone, T.Y. Lin, and Xindong Wu (Eds), Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM '01), Doubletree Hotel, San Jose, California, USA, November 29 - December 2, 2001. IEEE Computer Society Press, California, USA. ISBN 0-7695-1119-8. [Welcome from the Steering Committee Chair (pp xiii-xiv)]
  162. Shichao Zhang and Xindong Wu, Large Scale Data Mining Based on Data Partitioning, Applied Artificial Intelligence, 15(2001), 2: 129-139.
  163. Richard Relue, Xindong Wu, and Hao Huang, Efficient Runtime Generation of Association Rules, Proceedings of the 10th ACM International Conference on Information and Knowledge Management (ACM CIKM 2001) (acceptance rate: 66/259 for regular papers), Doubletree Hotel Atlanta-Buckhead, Atlanta, Georgia, USA, November 5-10, 2001, 466-473.
  164. Xindong Wu, Building Intelligent Learning Database Systems, AI Magazine, 21(2000), 3: 61-67.
  165. Xindong Wu and David Urpani, Induction by Attribute Elimination, IEEE Transactions on Knowledge and Data Engineering, 11(1999), 5: 805-812.
  166. Xindong Wu, Fuzzy Interpretation of Discretized Intervals, IEEE Transactions on Fuzzy Systems, 7(1999), 6: 753-759.
  167. Xindong Wu and Navin Boddu, HCV Deduction of C4.5 Rules, Proceedings of the ISCA 8th International Conference on Intelligent Systems, Denver, Colorado, June 24-26, 1999, 165-168.
  168. Xindong Wu, Induction as Pre-Processing, Lecture Notes in Artificial Intelligence 1574: Methodologies for Knowledge Discovery and Data Mining (Proceedings of the 3rd Pacific-Asia Conference, PAKDD-99) (acceptance rate: 29/158 for regular papers), N Zhong and L Zhou (Eds), Springer-Verlag, 1999, 114-122.
  169. Xindong Wu, Ramamohanarao Kotagiri, and Kevin Korb (Eds), Lecture Notes in Artificial Intelligence 1394: Research and Development in Knowledge Discovery and Data Mining (Proceedings of the Second Pacific-Asia Conference, PAKDD-98), Springer-Verlag, Heidelberg, Germany, 1998. ISSN 0302-9743; ISBN 3-540-64383-4.
  170. Meide Zhao, Francis K.H. Quek, and Xindong Wu, RIEVL: Recursive Induction Learning in Hand Gesture Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1998), 11: 1174-1185.
  171. Xindong Wu, Rule Induction with Extension Matrices, Journal of the American Society for Information Science, 49(1998), 5: 435-454.
  172. Heng Li and Xindong Wu, Learning Design Knowledge as Generalization, Cybernetics and Systems: An International Journal, 29(1998), 2: 181-208.
  173. Xindong Wu and William H.W. Lo, Multi-layer Incremental Induction, Lecture Notes in Artificial Intelligence 1531: PRICAI '98: Topics in Artificial Intelligence (5th Pacific Rim International Conference on Artificial Intelligence) (acceptance rate: 56/197), Hing-Yan Lee and Hiroshi Motoda (Eds.), Singapore, November 22-27, 1998, Springer-Verlag, 24-32.
  174. Margot Postema, Heinz Schmidt, and Xindong Wu, Locating White Box Reuse via Data Mining, Proceedings of the 2nd IEEE International Conference on Intelligent Processing Systems, 4-7 August 1998, Gold Coast, Australia, 478-482.
  175. Honghua Dai, Kevin Korb, Chris Wallace, and Xindong Wu, A Study of Causal Discovery with Weak Links and Small Samples, Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97) (acceptance rate: 216/882), Nagoya, Japan, August 23-29, 1997, 1304-1309.
  176. Daniel S.W. Ngu and Xindong Wu, SiteHelper: A Localized Agent that Helps Incremental Exploration of the World Wide Web, Proceedings of the Sixth International World Wide Web Conference (WWW6) (acceptance rate: 62/242 for regular papers), Santa Clara, California, USA, April 7-11, 1997, 691-700.
  177. Margot Postema, Xindong Wu, and Tim Menzies, A Tuning Aid for Discretization in Rule Induction, Proceedings of the 1997 Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, 23-24 February, 1997, 79-87.
  178. Xindong Wu, A Bayesian Discretizer for Real-Valued Attributes, The Computer Journal, 39(1996), 8: 688-691.
  179. Xindong Wu, Johan Krisar, and Petter Mahlen, Noise Handling with Extension Matrices, International Journal on Artificial Intelligence Tools, 5(1996), 1: 81-97.
  180. David Urpani, Xindong Wu, and Jim Sykes, RATIO - Rule Induction Two in One, Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96) (acceptance rate: 42 regular papers + 30 poster papers, out of 215 submissions), August 2-4, 1996, Porland, Oregon, 339-342.
  181. Xindong Wu, Knowledge Acquisition from Databases, Ablex Publishing Corp., U.S.A., 1995. ISBN 1-56750-206-7 (cloth cover); ISBN 1-56750-205-9 (paper cover).
  182. Xindong Wu and Petter Mahlen, Fuzzy Interpretation of Induction Results, Proceedings of the 1st International Conference on Knowledge Discovery and Data Mining (KDD-95) (acceptance rate: 23 regular papers + 33 poster papers, out of 133 submissions), August 20-21, 1995, Montreal, Quebec, Canada, 325-330.
  183. Xindong Wu, Lecture Notes in Machine Learning, Informatica: An International Journal of Computing and Informatics, 18(1994), 2: 197-218.
  184. Geoff Sutcliffe and Xindong Wu, Extracting Rule Schemas from Rules for an Intelligent Learning Database System, Proceedings of the Seventh Australian Joint Conference on Artificial Intelligence (AI '94) (acceptance rate: 75/152), 1994, 132-139.
  185. Xindong Wu, Inductive Learning: Algorithms and Frontiers, Artificial Intelligence Review, 7(1993), 2: 93-108.
  186. Xindong Wu, The HCV Induction Algorithm, Proceedings of the 21st ACM Annual Computer Science Conference, Indiana Convention Center, Indianapolis, Indiana, February 16-18, 1993, 168-175.
  187. Xindong Wu, TS: A Test-Split Algorithm for Inductive Learning (abstract refereed), Adaptive and Learning Systems II (SPIE Volume 1962), F.A. Sadjadi (Ed.), SPIE Press, U.S.A., 1993, 62-72.
  188. Xindong Wu, Optimization Problems in Extension Matrices, Science in China (Series A), English edition, 35(1992), 3: 363-373; Chinese edition: 35(1992), 2: 200-207.
  189. Xindong Wu, KEshell2: An Intelligent Learning Database System, Research and Development in Expert Systems IX, M.A. Bramer and R.W. Milne (Eds.), Cambridge University Press, U.K., 1992, 253-272.
  190. Xindong Wu and Diancheng Zhang, An Approach to Generation of Semantic Network from Relational Database Schema, Chinese Science Bulletin, English edition, 36(1991), 14: 1222-1225; Chinese edition: 35(1990), 21: 1674-1676.